Reading fluency is the ability of a child to read a book or other text correctly, quickly, and with expression. Fluent readers can easily comprehend text, read smoothly with expression, and enjoy reading. In contrast, non-fluent readers read slowly, focusing on decoding words rather than on understanding the content. By the end of first grade, children should be reading fluently at their grade level.
Fluency is a skill that develops gradually over time and practice. In the early stages, oral reading may be slow and laborious as students work on associating sounds with letters and blending them into words. However, fluent readers eventually recognize words automatically while reading silently, enabling them to understand the text easily. They can read aloud effortlessly with expression, focusing on comprehension rather than on decoding individual words.
Developing Fluency Through Practice
Fluency develops over time and practice, with parents listening to their child read aloud to assess fluency. While listening, pay attention to phrasing, pace, expression, and volume.
As fluency improves, children begin to read with meaning, following punctuation, using a conversational pace, and demonstrating expressive volume.
Summer Activities to Enhance Fluency
Reading Together Daily
One way to help children develop reading fluency is through daily paired reading. Take turns reading aloud to model fluent reading and encourage your child to read the same text after you to gradually improve fluency.
Rereading Favorite Books
Encourage children to repeatedly read their favorite books to build fluency quickly. Rereading familiar stories boosts confidence and enhances expression.
Using Poetry and Scripts
Introduce poetry and short scripts like Reader’s Theater to enhance fluency. Practice and encourage expressive reading without memorizing parts to make the reading experience enjoyable and effective.
Explore Reader’s Theater scripts for a fun way to practice fluency.
Creating Audio Books
Create audio books with your child to practice reading skills and improve fluency. Sharing these recordings with family and friends can motivate children to read fluently.
Listening to Fluent Readers
Listening to fluent readers in audiobooks can serve as a model for expressive reading. Visit the library or explore online sources for audiobooks to promote language exposure and fluent reading.
Choosing Books for Fluency
Reading Aloud
Select lively books with dialogue to model fluent reading and use different voices for characters. Choose books slightly above your child’s reading level to encourage enjoyment and aspiration.
Repetitive Reading
Encourage your child to read “just right” books multiple times to develop fluency. Listen for quick, accurate, and expressive reading with comprehension, repeating favorite books to boost confidence and fluency.
Benefits of Reading Aloud
Reading aloud not only helps improve fluency but also enhances vocabulary, comprehension, and listening skills. It provides an opportunity for parent-child bonding and fosters a love for reading. Encourage your child to read aloud to themselves or to others to build confidence and fluency.
Using Technology
Incorporate audiobooks or digital reading apps to engage reluctant readers or provide additional practice. Technology can make reading more interactive and fun, offering a different approach to developing fluency.
Assessing Fluency
Focus on comprehension and motivation while evaluating reading speed. Listening to your child read aloud can help assess speed, expression, comprehension, and fluency.
Measuring Reading Speed
Measure your child’s reading speed by counting words read correctly in one minute. Monitor progress over time to informally assess fluency development at home.
Additional Resources
Visit Reading 101: A Guide for Parents on Reading Rockets for more information.
If you want to teach your child how to read with expression, explore printable activities and learn our top five tips. Begin with the “Round Up the Sheep” activity for practice in expressive reading!
Using different expressions can alter the meaning of words. For example, depending on your feelings towards cats, you might say “Look! A cat!” in a fearful tone if you’re scared, or “Look, a cat!” joyfully if you love cats. This exercise is a fun way to understand this concept.
Activity: “Round Up the Sheep”
- Print and cut the sheep cards following the activity instructions.
- Arrange the cards with the sheep facing up.
- Practice reading with expression.
Engaging with the Activity
Have your child select a card. The word above the sheep indicates the expression to use when reading the sentence on the back.
Flip the card to read the sentence with the suggested expression.
Continue until all cards are read.
Explore More Activities
Try It Out
Practice reading the sentence—“I miss the smell of ham,” said Dan—in the tone of an angry emoji. Download Fun with Emojis for an entertaining reading experience!
Modeling Reading
Enhance your child’s reading by modeling expressive reading while reading aloud. Check out our Picture Book Library Lists for more ideas.
Enhancing Fluency
Decodable books can enhance reading fluency for early readers, making stories flow more smoothly and improving comprehension.
Buddy Reading
Engage in buddy reading to help your child develop expressive reading skills. Learn more in our Buddy Reading article.
Adding Expression to Reading
If your child’s reading feels mechanical, use our tips to add expression and meaning. Assist with decoding, vocabulary, phrasing, and dialogue to enhance their reading experience.
Share your strategies for promoting expressive reading in the comments.
Reading fluency involves accuracy, rate, and prosody. Fluent readers can read accurately, at a good pace, and with expression. Strategies for teaching vary based on the specific components that a child may struggle with.
Understanding these fluency elements guides teaching practices for children facing challenges with fluency.
Reading Accuracy
Accurate reading requires correct pronunciation of words to comprehend their meanings. Efficient decoding of words is crucial for accurate reading.
Fluent reading allows for effortless word recognition and understanding, enabling focus on the meaning of the text rather than on decoding individual words.
Reading Speed
Reading speed impacts comprehension. Automatic word reading, achieved through practice, enhances comprehension by allowing focus on the meaning of the text.
Focus on reading rate, not just speed, to balance pace with comprehension and attention to the text’s meaning.
Reading Prosody
Prosody involves reading with expression, rhythm, pitch, and appropriate pauses. It relies on accurate word reading and meaningful text division.
Reading with prosody enhances comprehension and supports information processing while reading.
Enhancing Vocabulary with Active Reading
Research shows that active reading with preschoolers enhances vocabulary. Expressive robot reading has been found to benefit children’s engagement and learning compared to flat reading.
Children show more concentrated engagement, improved story recall, and enhanced vocabulary when exposed to expressive reading by robots.
Keywords: preschool children, emotion, expressiveness, language development, storytelling
Exploring Expressive Storytelling
Past research indicates that storytelling and story reading in preschool children can improve oral language development and story comprehension. Engaging in storytelling can boost verbal fluency, listening skills, and vocabulary. Reading books actively is an effective way to expand young children’s vocabulary, especially when they interact with the story content. Studies have shown that dialogic reading with parents can improve toddlers’ expressive vocabulary. Further research confirms that dialogic book reading is beneficial for enhancing children’s vocabulary across various demographics and using different book types.
We studied if a social robot engaging in dialogic story reading with preschoolers could offer similar benefits. Social robots interact with people using human communication methods. Research supports the idea that social robots can help young children learn language effectively. Robots engaging children in vocabulary games have proven to be effective in teaching new words in their native or second language. Children find these interactive robots engaging, leading to improved vocabulary learning.
We examined the emotional expressiveness of a robot’s speech during story reading. While most studies used computer-generated voices, understanding the impact of expressiveness on learning, especially during storytelling, is important. Robots provide precise control over vocal expressiveness, making them ideal for studying its effects compared to human speakers.
Previous research on a robot’s voice focused on adults or synthetic voices, neglecting children’s learning. We compared the impact of a social robot’s expressive versus flat voice delivery on children’s language learning. Our study included a diverse group of children in terms of age and language proficiency, addressing gaps in previous research on human-robot interaction in young children.
In summary, this study delves into the impact of a robot’s emotional speech on children’s language acquisition during storytelling sessions. The results highlight the potential of social robots as effective tools for teaching language skills to young children.
To conduct this research, we engaged children around 5 years old with different language abilities in an interactive storytelling task with a social robot. These children included English Language Learners (ELL), bilingual, and monolingual English speakers. The robot conversed with the children and then narrated a story using dialogic reading techniques. Two versions of the experiment were carried out, each introducing three new words. The goal was for the children to understand these new words.
During the storytelling, the robot asked engaging questions to keep the children interested. We studied whether the expressiveness of the robot’s voice influenced the children’s participation and learning. Some children interacted with a robot with an expressive voice, while others heard a robot with a flat voice. Children were asked to retell the story to a puppet to assess their retention of the material. The study focused on the robot’s expressiveness and its redirection techniques.
Ethical guidelines were strictly followed, with parental consent and children’s agreement. We recruited 45 children aged 4-7 with diverse language backgrounds for the research. They were randomly assigned to different conditions, ensuring a balanced distribution. The comprehension of target vocabulary words was assessed through different story versions.
The Peabody Picture Vocabulary Test was used to evaluate the children’s language skills across the conditions, showing no significant differences. The study aimed to understand how the robot’s expressiveness affected the children’s learning and engagement in the short and long run.
We anticipated that the children would learn new vocabulary from the story and remember it for a longer time with an expressive robot. The children’s responses to questions were expected to reflect their learning progress. The expressive robot was predicted to encourage more active engagement and modeling among children.
Each child interacted with a puppet before the robot session, following ethical procedures to evaluate their learning and engagement levels in response to the robot’s expressiveness.
The robot interaction was set up with the child facing the robot, equipped with a tablet and smartphone to track emotions. An experimenter introduced the child to Tega and the puppet to start the storytelling session. The robot read the story from a picture book displayed on the tablet, embedding target nouns for learning.
At the end, the puppet woke up, and the children retold the story and took a vocabulary test. They also shared their feedback on the robot and story enjoyment. A Smiley-o-meter scale was used to rate their responses.
A follow-up session assessed long-term memory with select children. The study was conducted by two experimenters, one operating the robot. The Tega robot, designed for educational activities, had a friendly appearance with red fur and blue stripes.
The robot’s speech, delivered by a female voice, was tailored to sound child-like, either expressive or flat. Expressive sounds accompanied movements in the Expressive condition, while flat sounds or silence were used in the Flat condition.
Emotion measurement software was run on a Samsung Galaxy S4 android smartphone to track facial expressions during the study. A custom teleoperation interface was employed to control the robot and maintain consistency.
A verification study on Amazon Mechanical Turk revealed that participants perceived the Expressive robot as more emotional than the Flat robot. Participant responses confirmed that the Expressive robot was rated as significantly more emotional and expressive.
Table 1. Overview of participant feedback on the Expressive vs. Flat robot verification study.
| Aspect | Condition | Mean | Median | Mode | Range | Inter-quartile range |
|---|---|---|---|---|---|---|
| Overall level of expressiveness | Flat | 3.75 | 4 | 4 | 1–5 | 1 |
| Expressive aspect | 3.60 | 4 | 4 | 2–5 | 1 | |
| Overall emotional level | Flat | 2.90 | 3 | 2 | 1–5 | 2 |
| Expressive aspect | 3.60 | 4 | 4 | 2–5 | 1 | |
| Overall passiveness level | Flat | 3.15 | 3 | 3 | 1–5 | 2 |
| Expressive aspect | 2.56 | 3 | 3 | 1–5 | 1 | |
| Expressive quality of voice | Flat | 2.65 | 3 | 1 | 1–5 | 2.25 |
| Expressive aspect | 4.05 | 4 | 4 | 3–5 | 0 | |
| Emotional quality of voice | Flat | 2.15 | 2 | 1 | 1–5 | 2 |
| Expressive aspect | 3.85 | 4 | 4 | 3–5 | 1 | |
| Passive quality of voice | Flat | 3.45 | 3.5 | 3 | 1–5 | 2 |
| Expressive aspect | 2.30 | 2 | 2 | 1–5 | 1 |
Compared to the Flat robot, the Expressive robot displayed higher levels of expressiveness, emotionality, and active engagement.
The findings highlighted distinct contrasts between the Expressive and Flat robot scenarios, with the Expressive robot being perceived as more expressive, emotional, and dynamic.
Data collection methods included video and audio recordings, facial expression analysis, and responses to assessments.
Data Analysis
Analyzed were children’s reactions to the robot’s inquiries and story retelling, along with their characterization of Tega and utilization of positive attributes.
Assessment of story retells encompassed word count, vocabulary usage, and resemblance to the robot’s narrative utilizing N-gram algorithms.
Affect data from children was captured using Affdex via the front-facing camera of the Samsung Galaxy S4, measuring 15 expressions to determine the likelihood of nine different emotional states, like attention, concentration, surprise, and engagement.
The study split participants into Expressive and Flat conditions for comparison. Analysis of immediate and delayed retells was conducted across sessions.
The research focused on Learning, Behavior, and Engagement hypotheses, examining children’s learning from a dialogic storytelling robot, their responses to inquiries, and the implications of the robot’s expressiveness on engagement.
Results were divided into three main sections, investigating learning outcomes, behavioral patterns, and levels of engagement among participants.
Story retelling performance was found to improve with age, showcasing a correlation between story content and language output in children.
The analysis revealed a significant impact of expressive robots on children’s phrase-level similarity and the incorporation of target vocabulary words in their retellings.
Children showed consistent emotional engagement and maintained attention and concentration throughout the sessions.
Native English speakers outperformed ELL and bilingual children in vocabulary acquisition, word usage, and phrase matching, especially when exposed to an expressive robot.
The study indicated that children were more inclined to implement newly acquired vocabulary in their retells when engaging with the expressive robot.
Interacting with an expressive robot resulted in enhanced behavioral outcomes, encouraging children to produce new words rather than simply recognizing them.
Both expressive and flat robots had varying impacts on children’s storytelling techniques, with the expressive robot sustaining story length without decline and encouraging parallel phrases.
When answering dialogic questions posed by the robot, children exhibited improved vocabulary retention and phrase incorporation, particularly within the expressive robot condition.
Although both robots effectively engaged children, the expressive robot fostered deeper emotional interactions and greater usage of vocabulary in storytelling.
The study’s limitations include individual variations, uneven age and language status distribution, incomplete retell data, and the introduction of unfamiliar vocabulary words.
Future investigations should address these constraints and strive for more homogeneous sample groups.
Advancements in technology influence children’s learning experiences, urging further exploration on designing social robots to enhance educational outcomes and child development.
Exploring Language Learning for Young Children
The study draws insights from preschoolers’ language learning processes, emphasizing the influence of storytelling interactions on language acquisition and social modeling behaviors in children.
Understanding Emotional Expressivity in Learning
Emotional expressivity in social robots plays a crucial role in children’s learning experiences, with expressive storytelling enhancing engagement and cognitive development.
Impact of Socially Expressive Robots on Learning
Research suggests that children mirror the linguistic patterns of expressive storytelling robots, indicating the potential for varied information encoding based on the robot’s expressivity.
The Role of Social Robots in Education
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Robots with social capabilities play a crucial role in boosting children’s social interaction and learning, paving the way for a novel educational technology era. The way social robots are designed has a significant impact on how children behave and what they learn.
Prospects for Future Research and Advancements
Future research should delve into how social robots can enhance peer learning dynamics within children’s groups and how they can involve adults in educational environments. Understanding the effective integration of robots into classrooms and home learning spaces is vital. Further investigations are required to create social robots that can effectively engage, support, and facilitate learning over time while catering to a variety of learning needs.
Author Contributions
The study was conceived and executed by JMKW, SJ, HWP, SR, PLH, DD, and CLB. Data analysis was conducted by JMKW, SJ, HWP, SR, and AA. The article was jointly written and approved by all authors.
Conflict of Interest Statement
The authors affirm that there are no conflicts of interest related to the research.
Acknowledgments
We would like to thank Mirko Gelsomini for assisting in data collection. This research was funded by the National Science Foundation (NSF) under Grants IIS-1122886, IIS-1122845, and IIS-1123085. The authors bear full responsibility for the article’s content.
Footnotes
References
Content from Frontiers in Human Neuroscience is provided courtesy of Frontiers Media SA